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Description
SEPARADOR COTTLE, LONGITUD DE 140 A 150 MM.
IMSS product code
537.814.3308.01
Each circle represents one of the 2 purchases of SEPARADOR made by the IMSS between 2014 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 668.2 MXN | 92.2 MXN | 16 % | 0.32 | 6 de junio de 2014 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 700.6 MXN | 96.6 MXN | 16 % | 0.32 | 3 de noviembre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| HEMOST, S. A. DE C. V. | 1 | 96.6 MXN | 16 % | 0.32 | 2016 - 2016 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | 92.2 MXN | 16 % | 0.32 | 2014 - 2014 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.814.3308.01")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.814.3308.01')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.814.3308.01')